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Title : PhD Position (4 years) in Computer Science / Engineering: Development of a Smart Sensor for Real-Time Monitoring of Dairy Calves Context : Calf health is a major concern for the Quebec, Canada
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, in partnership with major industry players (Les Éleveurs de porcs du Québec, Olymel, and CDPQ) and MAPAQ. PhD Objectives: This 4-year PhD project aims to develop and validate robust Computer vision
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
autonomous robotic water-quality sampling at the University of British Columbia in Vancouver, Canada. We are developing a drone-based platform for rapid acquisition of in-situ water data at scale. We
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are offered to Canadians, permanent residents of Canada, and citizens of developing countries enrolled in a master’s or a doctoral degree at a recognized university OR who have completed a master’s or a
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Studies (PhD) Teaching in the age of algorithms: Resisting the algorithmic order through co-created sociotechnical experiments View All Stories Further Information Allocations Funding will be allocated
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for tests, execution of experimental tests, assist in numerical modeling, and development of design equations and guidelines, prepare research reports and journal papers. Organizational Status UBC Smart
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for tests, execution of experimental tests, assist in numerical modeling, and development of design equations and guidelines, prepare research reports and journal papers. Organizational Status UBC Smart
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with clients and partners, the National Research Council Canada provides strategic research, innovation support, scientific, and technical services to develop and deploy solutions to meet Canada’s
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). The research officer would be someone who shares our core values of Integrity, Excellence, Respect and Creativity. The diagnostic scientist will develop, optimize, and validate tools that detect
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Universiteit Amsterdam2. Developing Tree-Level Biomass Benchmark Datasets•From aerial, and high-resolution satellite observation to build accurate biomass datasets•Collaboration with University of Copenhagen